Qiyang Zhang

According to our database, Qiyang Zhang authored at least 32 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection.

Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang

IEEE Trans. Mob. Comput., May, 2024

Deep Generalized Learning Model for PET Image Reconstruction.

Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng, Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

IEEE Trans. Medical Imaging, January, 2024

Energy-Efficient Federated Training on Mobile Device.

Qiyang Zhang, Zuo Zhu, Ao Zhou, Qibo Sun, Schahram Dustdar, Shangguang Wang

IEEE Netw., January, 2024

A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model.

Ruohan Li, Hualan Wang, Qiyang Zhang, Ting Nie

CoRR, 2024

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement.

Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang

CoRR, 2024

FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression.

Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar

CoRR, 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.

Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

CoRR, 2024

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.

Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement.

Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization.

Yijie Chen, Qiyang Zhang, Ruolin Xing, Yuanzhe Li, Xiao Ma, Chaoxin Yu, Yiran Zhang, Ao Zhou, Shangguang Wang

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Resource-efficient In-orbit Detection of Earth Objects.

Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Zimu Zheng, Xiao Ma, Mengwei Xu, Schahram Dustdar, Shangguang Wang

Proceedings of the IEEE INFOCOM 2024, 2024

Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams.

Jinglong Guan, Qiyang Zhang, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Shangguang Wang

Proceedings of the IEEE International Conference on Communications, 2024

2023

Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).

Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu

Biomed. Signal Process. Control., September, 2023

MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks.

Zhenxing Huang, Wenbo Li, Yunling Wang, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang

Artif. Intell. Medicine, September, 2023

The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites.

Shangguang Wang, Qiyang Zhang, Ruolin Xing, Fei Qi, Mengwei Xu

CoRR, 2023

Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites.

Yijie Chen, Qiyang Zhang, Yiran Zhang, Xiao Ma, Ao Zhou

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022

Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory.

Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Qiyang Zhang, Yilong Liu, Chuang Sun, Xuefeng Chen

IEEE Trans. Ind. Informatics, 2022

TSVMPath: Fast Regularization Parameter Tuning Algorithm for Twin Support Vector Machine.

Kanglei Zhou, Qiyang Zhang, Juntao Li

Neural Process. Lett., 2022

Cost-aware edge server placement.

Qiyang Zhang, Shangguang Wang, Ao Zhou, Xiao Ma

Int. J. Web Grid Serv., 2022

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.

Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study.

Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen

IEEE Trans. Instrum. Meas., 2021

Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis.

Qiyang Zhang, Zhibin Zhao, Xingwu Zhang, Yilong Liu, Chuang Sun, Ming Li, Shibin Wang, Xuefeng Chen

IEEE Trans. Instrum. Meas., 2021

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks.

Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

Neurocomputing, 2021

Paperfetcher: A tool to automate handsearch for systematic reviews.

Akash Pallath, Qiyang Zhang

CoRR, 2021

2020

CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging.

Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Zhanli Hu

IEEE Trans. Computational Imaging, 2020

PET Image Reconstruction Using a Cascading Back-Projection Neural Network.

Qiyang Zhang, Juan Gao, Yongshuai Ge, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu

IEEE J. Sel. Top. Signal Process., 2020

2019

Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.

Peijian Gu, Changhui Jiang, Min Ji, Qiyang Zhang, Yongshuai Ge, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu

Sensors, 2019

Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study.

Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen

CoRR, 2019

Neural Style Transfer for Characters Synthesis via Stack Network.

Qiyang Zhang, Shengwu Xiong, Anna Zhu

Aust. J. Intell. Inf. Process. Syst., 2019

Robust Health Score Prediction from Pyro-Sensor Activity Data based on Greedy Feature Selection.

Masamichi Shimosaka, Qiyang Zhang, Kazunari Takeichi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Character Image Synthesis Based on Selected Content and Referenced Style Embedding.

Anna Zhu, Qiyang Zhang, Xiongbo Lu, Shengwu Xiong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2011

Geometric Calibration of a Micro-CT System and Performance for Insect Imaging.

Zhanli Hu, Jianbao Gui, Jing Zou, Junyan Rong, Qiyang Zhang, Hairong Zheng, Dan Xia

IEEE Trans. Inf. Technol. Biomed., 2011